Purpose and Mission

• Responsible for designing, developing, and maintaining the infrastructure and data systems required for data collection, transformation, storage, and processing. Ensures smooth data flow from source to destination, enabling data scientists and BI analysts to obtain actionable insights. International working team and scope across all companies of the group.
• • Support for applications developed in VB.NET, C#, and Python.
  • Conceptual system design at Business Analyst level.
  • Close collaboration with an international team.

Key Activities and Responsibilities

• Data Pipeline Development: Build and maintain optimal ETL architectures.
• Data Integration: Combine raw information from various sources.
• Data Quality & Reliability: Implement methods to improve reliability, quality, and efficiency.
• Collaboration: Work with stakeholders including data scientists, analysts, and business teams.
• Performance Optimization: Identify and implement process improvements.
• Support existing applications and conceptual design of new systems.

Skills

• Languages – English (B2 level or higher).
• Proficiency in programming languages: Python, Java, VB.NET, C#.
• Experience with SQL databases.
• Knowledge of cloud services such as AWS, Azure, or Google Cloud Platform.
• Strong problem-solving skills and attention to detail.
• Ability to analyze and organize raw data.
• Excellent communication and collaboration skills.
• Ability to work independently and in teams.

Previous Experience

• Experience – Minimum 3–5 years in data engineering, data warehousing, or similar.

Qualifications and Education

• Education – Degree in Computer Science, Information Systems, Engineering, or related field.